{"_buckets": {"deposit": "b4484818-b939-47ea-9bc8-a4018a6eacb6"}, "_deposit": {"id": "5056", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "5056"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5056"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Mining Constraint Association Rule Using Direct Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Discovering association rules has receivedconsiderable research attention and several fastalgorithms for mining association rules have beendeveloped. In practice, users are often interestedin a subset of association rules. For example, theymay only want rules that contain a specific item orcategories.Constraints can be applied to theassociation rule mining and integrating them intothe mining algorithm can dramatically reduce theexecution time. This paper presents constraints asboolean expressions over the presence or absenceof items which are integrated into the associationrule algorithm. To generate constraint associationrule, Direct algorithm is used in this system.Constraint association rule is applied for MiniMarket Transaction Dataset. The process ofdiscovering association rules at single level hasreceived significant research attention and severalalgorithms for mining frequent itemsets have beendeveloped. The discovery of multi-levelassociation rules is very much useful in manyapplications. In this system, multi-level constraintassociation rule by Direct algorithm is presented."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_name_i18n": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-18"}], "displaytype": "preview", "download_preview_message": "", "filename": "52_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "137 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 137000, "url": {"url": "https://meral.edu.mm/record/5056/files/52_PDFsam_PSC_final proof.pdf"}, "version_id": "5c1ef892-7400-4632-b124-53e96f86c02a"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eighth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Myat, Phyu"}, {"subitem_authors_fullname": "Nyunt, Thi Thi Soe"}, {"subitem_authors_fullname": "Phyu, Thir Nu"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/949"}, "item_title": "Mining Constraint Association Rule Using Direct Algorithm", "item_type_id": "21", "owner": "1", "path": ["1582963302567/1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005056", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-18"}, "publish_date": "2019-07-18", "publish_status": "0", "recid": "5056", "relation": {}, "relation_version_is_last": true, "title": ["Mining Constraint Association Rule Using Direct Algorithm"], "weko_shared_id": -1}